Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection
This study proposed a mathematical model for designing a feeder transit service for improving the service quality and accessibility of transportation hubs (such as airport and rail station). The proposed model featured an integrated framework, which simultaneously guided passengers to reach their ne...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2020/6517248 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560677220253696 |
|---|---|
| author | Ming Wei Tao Liu Bo Sun Binbin Jing |
| author_facet | Ming Wei Tao Liu Bo Sun Binbin Jing |
| author_sort | Ming Wei |
| collection | DOAJ |
| description | This study proposed a mathematical model for designing a feeder transit service for improving the service quality and accessibility of transportation hubs (such as airport and rail station). The proposed model featured an integrated framework, which simultaneously guided passengers to reach their nearest stops to get on and off the bus, designed routes to transport passengers from these selected pick-up stops to the transportation hubs, and calculated their departure frequencies. In particular, the maximum walking distance, the upper and lower limits of route frequencies, and the load factor rate of each route were fully accounted for in this study. The main objective of the proposed model was to simultaneously minimize the total walking, riding time, and waiting time of all passengers. As this study explored an NP-hard problem, a two-stage genetic algorithm combining the Dijkstra search method was further developed to yield metaoptimal solutions to the model within an acceptable time. Finally, a test instance in Chongqing City, China, demonstrated that the proposed model was an effective tool to generate a pedestrian, route, and operation plan; it reduced the total travel time, compared with the traditional model. |
| format | Article |
| id | doaj-art-8737462c24344e18b4c2531639f2e350 |
| institution | Kabale University |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-8737462c24344e18b4c2531639f2e3502025-02-03T01:27:03ZengWileyJournal of Advanced Transportation0197-67292042-31952020-01-01202010.1155/2020/65172486517248Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop SelectionMing Wei0Tao Liu1Bo Sun2Binbin Jing3School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, ChinaNational Engineering Laboratory of Integrated Transportation Big Data Application Technology, School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, ChinaSchool of Transportation, Nantong University, Nantong 226019, ChinaThis study proposed a mathematical model for designing a feeder transit service for improving the service quality and accessibility of transportation hubs (such as airport and rail station). The proposed model featured an integrated framework, which simultaneously guided passengers to reach their nearest stops to get on and off the bus, designed routes to transport passengers from these selected pick-up stops to the transportation hubs, and calculated their departure frequencies. In particular, the maximum walking distance, the upper and lower limits of route frequencies, and the load factor rate of each route were fully accounted for in this study. The main objective of the proposed model was to simultaneously minimize the total walking, riding time, and waiting time of all passengers. As this study explored an NP-hard problem, a two-stage genetic algorithm combining the Dijkstra search method was further developed to yield metaoptimal solutions to the model within an acceptable time. Finally, a test instance in Chongqing City, China, demonstrated that the proposed model was an effective tool to generate a pedestrian, route, and operation plan; it reduced the total travel time, compared with the traditional model.http://dx.doi.org/10.1155/2020/6517248 |
| spellingShingle | Ming Wei Tao Liu Bo Sun Binbin Jing Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection Journal of Advanced Transportation |
| title | Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection |
| title_full | Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection |
| title_fullStr | Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection |
| title_full_unstemmed | Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection |
| title_short | Optimal Integrated Model for Feeder Transit Route Design and Frequency-Setting Problem with Stop Selection |
| title_sort | optimal integrated model for feeder transit route design and frequency setting problem with stop selection |
| url | http://dx.doi.org/10.1155/2020/6517248 |
| work_keys_str_mv | AT mingwei optimalintegratedmodelforfeedertransitroutedesignandfrequencysettingproblemwithstopselection AT taoliu optimalintegratedmodelforfeedertransitroutedesignandfrequencysettingproblemwithstopselection AT bosun optimalintegratedmodelforfeedertransitroutedesignandfrequencysettingproblemwithstopselection AT binbinjing optimalintegratedmodelforfeedertransitroutedesignandfrequencysettingproblemwithstopselection |